SAN FRANCISCO—Data analytics platform provider Sight Machine, Inc., recently upgraded its end-to-end big data platform, which is purpose-built for manufacturing. Sight Machine 2.0 was developed and stress-tested for large-scale deployment across lines, plants and extended supply chains.

Sight Machine is used by Global 500 companies to make better, faster decisions about their manufacturing operations. It uses advanced analytics and artificial intelligence to help manufacturers improve quality, productivity and visibility.

The company offers what it calls the world’s only plant digital twin, combining process and product data into a set of analytical models that mirror machines, lines, plants and supply chains. Sight Machine answers questions like “Why has machine downtime risen 22 percent this month? Why is our new line in Indiana 18 percent less productive than an identical line in Michigan? Which production step is responsible for introducing this defect? Why is my scrap cost running 10 percent higher this month?”

Among the major new features in Sight Machine 2.0 are Global Ops View for real-time visibility across the enterprise; Contextualized Dashboards, which can be tailored for the needs of a user or function; and Downtime Classifier, which uses machine learning to determine the reasons for downtime.

“Sight Machine takes perennial manufacturing challenges and solves them in days, or even hours,” said Sight Machine CEO and Co-Founder Jon Sobel, in a press release. “From origins in Michigan’s auto plants to global operations in Asia, Europe, and North America, Sight Machine has scaled across multiple industries. With this release, Sight Machine gives global manufacturers powerful new capabilities in digital manufacturing.”

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